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Team:Tuebingen/Modeling
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<h3>Motivation</h3> | <h3>Motivation</h3> | ||
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| - | <p> | + | <p>The aim of our modeling approach is the formal description of the biosensor system. We look from an engineering viewpoint and want to create a technical specification for our device similar to the specifications often found in electrical engineering.</p> |
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| + | <p>The basis for the mathematical formulation has to be an abstract representation. The underlying network we used for our modeling tasks is structured as follows:</p> | ||
| + | <img src="https://static.igem.org/mediawiki/2013/1/18/Model_Overview.png" title="model overview"/> | ||
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| + | <p>Another aspect we want to consider with a computational model are the benefits for both the model and the biological system. Through several iterations of analyses of the computational model and data generation with the biological system, we can verify the model and find interesting characteristics of the biological system.</p> | ||
<img src="https://static.igem.org/mediawiki/2013/0/09/Workflow_cycle.png" title="workflow cycle"> | <img src="https://static.igem.org/mediawiki/2013/0/09/Workflow_cycle.png" title="workflow cycle"> | ||
Revision as of 11:42, 4 October 2013
Motivation
The aim of our modeling approach is the formal description of the biosensor system. We look from an engineering viewpoint and want to create a technical specification for our device similar to the specifications often found in electrical engineering.
The basis for the mathematical formulation has to be an abstract representation. The underlying network we used for our modeling tasks is structured as follows:
Another aspect we want to consider with a computational model are the benefits for both the model and the biological system. Through several iterations of analyses of the computational model and data generation with the biological system, we can verify the model and find interesting characteristics of the biological system.
Model equations
Results
General behavior
sensitivity analysis
Outlook
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